# Show HN: Tokenstead, find AI models for your hardware

> Source: <https://tokenstead.ai/>
> Published: 2026-07-09 14:10:48+00:00

# Find the right model for your hardware

Run AI on hardware you own, so no vendor or government order can switch off the model you depend on. Pick your rig and see which open models fit - with honest speed estimates, cloud-pricing comparisons, and a source-cited tracker of who's running what.

## 01 - Select your hardware

click to compare[AMD Ryzen AI Halo 128GB
128GB UNIFIED
](/find/results?hardware_id=56&use_case=coding)

[Framework Desktop 128GB
128GB UNIFIED
](/find/results?hardware_id=55&use_case=coding)

[GMKtec EVO-X2 128GB
128GB UNIFIED
](/find/results?hardware_id=54&use_case=coding)

[Mac Mini M4 16GB
16GB UNIFIED
](/find/results?hardware_id=23&use_case=coding)

[Mac Mini M4 Pro 24GB
24GB UNIFIED
](/find/results?hardware_id=24&use_case=coding)

[Mac Mini M4 Pro 48GB
48GB UNIFIED
](/find/results?hardware_id=25&use_case=coding)

[Mac Studio M4 Max 36GB
36GB UNIFIED
](/find/results?hardware_id=26&use_case=coding)

[Mac Studio M4 Max 64GB
64GB UNIFIED
](/find/results?hardware_id=27&use_case=coding)

[Mac Studio M4 Max 96GB
96GB UNIFIED
](/find/results?hardware_id=28&use_case=coding)

[On a budget? Compare own vs rent →](/budget?monthly_budget=100&team_size=1&use_case=coding)

[Count tokens & estimate API cost →](/token-counter)

## 02 - Save your rig (free)

Sign in with GitHub to save your hardware. New here? We'll guide you through picking your rig - Mac, multi-GPU (up to 8x), or custom specs - then show you exactly which models you can run locally.

[Sign in with GitHub - free](/login)

## Top models by quality

[Browse all models](/models)

[
01
DeepSeek V4 Pro
MoE
1600.0B params - 1000k ctx
89
](/models/deepseek-v4-pro)

[
02
GLM 5.2
MoE
744.0B params - 1000k ctx
88
](/models/glm-5-2)

[
03
Qwen3.6 35B A3B
MoE
35.0B params - 262k ctx
87
](/models/qwen3-6-35b-a3b)

[
04
DeepSeek V3 0324
MoE
671.0B params - 128k ctx
87
](/models/deepseek-v3-0324)

[
05
DeepSeek V4 Flash
MoE
284.0B params - 1000k ctx
86
](/models/deepseek-v4-flash)

[
06
LongCat 2.0
MoE
1600.0B params - 1000k ctx
86
](/models/longcat-2-0)

## Who's running what

[See all 22 →](/adoption)

Bloomberg: Microsoft replacing OpenAI/Anthropic models with in-house MAI models in Excel and Outlook to cut inference spend; a tuned MAI variant claims GPT-5.4 parity at up to 10x efficiency. Proprietary (not open-weight), but the same frontier-API cost pressure.

Self-hosted Llama 3.1 8B on Kubernetes automates support-ticket creation and resolution drafts for the ad-tech platform; 80% less time to create tickets.

Mistral Medium 3.5 (128B) for up to 100k French public-sector agents under a 4-year, EUR 140M framework; on-prem SecNumCloud option for sovereignty.

Self-hosted Codestral in its RAISE/SovBox coding assistant for regulated aerospace, defense and public-sector clients; code-completion accuracy 50% -> 90%.

Self-hosted, 100% European Codestral powers multilingual SBB rail support bots (1k -> 30k employees, 80% fewer repetitive queries) and an accounting accruals agent.

Statuses: confirmed official source reported credible third-party, not officially confirmed testing evaluating, not deployed.

Curated and source-cited, not a scraper. Built a rig worth sharing?
[Browse shared builds →](/rigs).